AIML - Machine Learning Engineer, Siri PerceptionApple Published 01 Sep 2024
Share this job San Francisco, CA, USA
$143100-$264200 annually
Full Time
Role Highlights HTML
Data Analysis
NLP
Speech Recognition
Computer Science
Perception
Quantitative
PhD
Tools, Libraries and Frameworks Tensorflow
Description The Siri Perception team at Apple is focused on enhancing voice-based interactions to make their products more intuitive and personal. The Machine Learning Engineer role is integral to creating advanced machine learning algorithms that power Siri's ability to understand user queries in real-time. Responsibilities include designing and implementing machine learning models as well as conducting experiments to optimize performance. Collaboration with engineers, researchers, and data scientists is essential to drive the next generation of Siri's capabilities.
Required Qualifications and Skills The role requires a Master's degree in Computer Science, Machine Learning, or a related field, preferably with a focus on machine learning. Strong programming skills in Python and experience with machine learning frameworks like TensorFlow or PyTorch are necessary. Candidates should possess problem-solving, quantitative, and analytical skills. While not mandatory, knowledge of speech recognition and natural language processing, along with familiarity with deep learning architectures, is advantageous.
The company is at the forefront of integrating AI into user experiences, particularly through natural language processing and machine learning to innovate text input and interaction technologies on its platforms. They have developed and implemented advanced generative models for text generation, such as Transformer models, to provide features like auto-correction, sentence level correction, and inline completions. The representation of Apple as a leader in creating seamless input experiences through the exceptional integration of hardware and software, alongside a commitment to privacy, underlines their dedication to leveraging powerful on-device ML. This role offers a chance to contribute to a team that has a significant history and expertise in NLP and ML, impacting users globally across all Apple platforms.
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